A9810569: Dell 64GB DDR4 2666MHz ECC RDIMM Memory Module
MPN: A9810569|By: Dell
Starting from
$535
Indicative. Final pricing is confirmed with your quote.
In Stockships worldwide
- Condition:
- New (authorized channel)
- Warranty:
- Full manufacturer warranty
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Bulk order? Request volume pricing
Authorized & warrantied
Sourced through authorized distribution, with the full manufacturer warranty.
Compatibility checked
Validated against your server platform before dispatch.
Delivery & lead time
Confirmed with your quote, including expedited freight where available.
Business & public sector
POs, net terms and volume pricing for qualified organizations, government and edu.
Product overview
This is the Dell 64GB DDR4 2666MHz ECC RDIMM Memory Module, order code A9810569. Memory is the part most often ordered wrong, because rank, voltage and population rules differ per platform and per slot. This module is DDR4. Give us the server model and the DIMMs already fitted and we will confirm the configuration is supported.
The listed price is per unit and current; tell us the quantity and we will confirm what it holds at before you raise the order.
Specifications
General
- Manufacturer part number
- A9810569
- Product Type
- Server Memory
- Manufacturer
- Dell
Technical specifications
- Capacity
- 64GB
- Memory Type
- DDR4
- Module Type
- ECC
Specifications for A9810569 as published by Dell. Where a value is absent it is because we could not verify it, not because it does not exist. Ask and we will check.
Where the Dell A9810569 is deployed
- Like-for-like replacement of A9810569 in an existing system
- Raising host memory to fit more virtual machines per node
- Replacing a DIMM flagged by correctable-error logging
Who this part is for
- Procurement buying memory kits against a documented configuration
- Teams retiring mixed-speed memory in favour of one consistent part
- MSPs matching DIMMs to what a customer already has installed
What you get ordering this from us
Ordered by part number
Quoted and supplied against A9810569 specifically, so what arrives is what your build sheet asks for.
Volume pricing
The listed price is per unit; tiered pricing applies at quantity and purchase orders are accepted.
Population mapped for you
Send the current DIMM layout and we return the slot map with the quote, so the modules go in the right order.
Questions buyers ask about this part
Is A9810569 genuine and is the warranty intact?
Yes. Supplied new and unopened, so the manufacturer warranty and firmware update path stay supported. No grey-market stock and no refurbished units sold as new.
Will A9810569 work in my server?
Send the server model and a list of the DIMMs already fitted. Rank, voltage and population order all have to agree, and a module that is electrically compatible can still be unsupported in a given slot. We map the population before you order.
Do you accept purchase orders and quote at volume?
Yes. We quote against a purchase order and hold the price for the quote period, with tiered rates at quantity. Net terms are available once the account is approved.
Compare other Server Memory we stock
| Model | Brand | Key spec | Availability | From |
|---|---|---|---|---|
| SK hynix 32GB DDR5-5600 PC5-44800 ECC Registered CL46 288-Pin RDIMM Server Memory Module | SK hynix | Capacity: 32GB | In Stock | $215 |
| Samsung 16GB DDR4-3200 PC4-25600 ECC Registered CL22 288-Pin RDIMM Server Memory Module | Samsung | Capacity: 16GB | In Stock | $55 |
| Micron 128GB DDR4-3200 PC4-25600 ECC Load-Reduced CL22 288-Pin LRDIMM Server Memory Module | Micron | Capacity: 128GB | In Stock | $500 |
| Dell Technologies 16GB DDR5-4800 PC5-38400 ECC RDIMM CL40 288-Pin Server Memory Module | Dell Technologies | Capacity: 16GB | In Stock | $95 |
| HPE 16GB DDR5-4800 PC5-38400 ECC RDIMM CL40 288-Pin Server Memory Module | HPE | Capacity: 16GB | In Stock | $95 |
| Lenovo 16GB DDR5-4800 PC5-38400 ECC RDIMM CL40 288-Pin Server Memory Module | Lenovo | Capacity: 16GB | In Stock | $90 |
Browse all Server Memory or everything we stock from Dell.
Specifying a system, not just the part?
Host memory on an AI node is normally sized against accelerator memory, so the model and its working set both fit.